All challenges

The goal is to develop an automatic annotation algorithm for underwater data. We envision the following steps in the challenge:
1. Handling the video data
2. Creating audio data associated with the...

A basic yet interactive user interface coupled with an API, which can take in selected underwater images together and output a 3D reconstruction of the asset.

Leadership, knowledge in marine science, IA in relation to that

A visual interface or dashboard that shows ROV sensor data meaningfully (e.g., map overlays, time graphs, alerts)

We would like to develop a working prototype of the SeaSafe AI system. This will include a web-based dashboard that simulates real-time vessel tracking using AIS data and visualises predicted ...

To develop a software or app that automatically calculates the relative abundance (MaxN) of each species directly from uploaded underwater videos

- Upload underwater images of coral reefs (taken via smartphones or cameras).
- Use AI-based image recognition to detect and annotate coral health indicators (e.g., bleaching, algae, ...

Over the 48 hours, we aim to develop a real-time, interactive web dashboard that connects with our AI-powered floating Seabin prototype. The platform will visualize trash detection results, sensor ...

Develop an application that uses images or sensor data to accurately identify and analyze whale tails, supporting research and conservation efforts.

Design a cost-effective monitoring solution that integrates sensor data for community-based science projects. This tool should help researchers and citizens alike gather and analyze environmental ...

We aim to develop a robust and playful algorithm that can reliably distinguish clouds from snow and ice in Sentinel-2 images of polar regions. This will include:

- A trained machine learning model...

An AI/ML system that can detect and quantify boat traffic from thousands of still images captured every 5 minutes by a shore camera. This kind of quantitative analysis could be of great interest to ...